Re:Cycle Reverse Logistics
Data Science, System Planning/Administration, Cloud Computing
DataSteward
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Steward at Re:Cycle Reverse Logistics. Skills: Data quality, Data governance, Data analysis. Ensure accuracy of system data. Ensure consistency of system data”
What You'll Achieve.
Maintain data consistency; Maintain data accuracy; Drive data consistency; Drive data accuracy; Ensure data reliability; Align on daily plans; Align on monthly plans; Align on annual plans; Track operational performance
Industry & Context.
Root cause analysis; Data bug analysis
What They're Looking For.
Must Have
Experience as Data Engineer, Bachelor's degree in Data Science, Bachelor's degree in Computer Science, Bachelor's degree in Information Systems, 4+ years related experience in lieu of degree
Nice to Have
Experience with SQL, Experience with PL/SQL, Experience with DDL, Experience with MDX, Experience with HiveQL, Experience with SparkSQL, Experience with Scala, Experience in data warehouse technical architectures, Experience in data modeling, Experience in infrastructure components, Experience in ETL/ ELT, Experience in reporting/analytic tools, Experience in data structures, Hands-on SQL coding, Experience with data visualization, Analytical skills, Attention to detail, Effective communication abilities, Experience defining KPIs/SLAs, Experience reporting to senior leadership, Experience working with third party vendors, Experience managing third party vendors
What You'll Do.
Ensure accuracy of system data
Ensure consistency of system data
Ensure completeness of system data
Develop data standards
Enforce data standards
Develop data policies
Enforce data policies
Develop data procedures
Enforce data procedures
Develop data governance strategies
Enforce data governance strategies
Perform data quality assessments
Develop improvement plans
Implement improvement plans
Understand data requirements
Generate performance metrics
Present performance metrics
Facilitate data migration
How You'll Work.
Team & Collaboration
Work collaboratively across teams; Work with stakeholders; Work with service providers
Communication Scope
Present data metrics; Present reports; Present visuals
Process & Methodology
Ticket prioritization, Tradeoff management
Full Job Description
The re:Cycle Reverse Logistics Operations team offers worldwide cloud computing providers with a centralized means to disassemble, sort, function test, in-warranty return, repair, erase/wipe, and disposition server and networking assets that break or are no longer needed in the fleet. The team is seeking a detail-oriented, analytical, and self-driven Data Steward to support its global operations by driving and working collaboratively across teams to maintain data consistency and accuracy, and by generating and driving data-related performance metrics in the organization’s warehouse management system. This scope will ensure data reliability for the organization’s three operating systems, driven by 400+ global users through our four global facilities that are generating millions of transactions per month across 70+ data tables. This role is critical to the re:Cycle Reverse Logsitics system-management team that is responsible for maintaining application security, data, and compliance, and plays a key role in enabling global operations with reliable information needed to align on daily, monthly, and annual plans, and tracking operational performance to plan. Auditing and analyzing the system’s data (both extracted and in-application), repairing inaccurate data, working across the organization and 3P service provider to root cause and repair recurring data issues, analyzing and prioritizing data "bugs" for resolution, supporting data change management initiatives, and generating/driving data-related performance metrics for leadership presentation are all in a day’s work for the reverse logistics Data Steward. Key job responsibilities •Ensuring accuracy, consistency, and completeness of system data, both within and outside of the application •Developing and enforcing data standards, policies, procedures, and governance strategies to maintain global data integrity and compliance •Performing regular data quality assessments, developing and implementing scorecards and improv
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